Modern Coding Theory TOM RICHARDSON 一本将编码很好的书。

Modern-CPP-Programming-Cookbook-Second-Edition-master Packt 出版 仅供学习参考，阅后删除。

modern-cpp-template：使用CMake，Clang格式，CI，单元测试等的现代C ++项目的模板，并支持下游包含

Perlturns23yearsoldlaterthisyear.Thelanguagehasgonefromasimpletoolforsystemadministrationsomewherebetween shellscriptingandCprogramming(Perl1)toapowerful,general-purposelanguagesteepedinarichheritage(Perl5)anda consistent,coherent,rethinkingofprogrammingingeneralintendedtolastforanother25years(Perl6

Effective Modern C++英文版及中文翻译. 第一章 类型推导 条款1： 理解模板类型推导 条款2： 理解auto类型推导 条款3： 理解decltype 条款4： 知道如何查看类型推导 第二章 auto关键字 条款5： 优先使用auto而非显式类型声明 条款6： 当auto推导出非预期类型时应当使用显式的类型初始化

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Long considered the standard for covering chemistry at a high level, PRINCIPLES OF MODERN CHEMISTRY, 7e continues to set the standard as the most modern, rigorous, and chemically and mathematically accurate book on the market. Thoroughly revised and updated throughout to strengthen its sound "atoms first" approach, this authoritative book now features new content, and new art. In addition, the text is now more reader friendly without compromising its rigor. End-of-chapter learning aids now focus on only the most important key objectives, equations and concepts, making it easier for readers to locate chapter content, while new applications to a wide range of disciplines, such as biology, chemical engineering, biochemistry, and medicine deepen readers' understanding of the relevance of chemistry in today's world.,解压密码 share.weimo.info

The Modern C++ Challenge: Become an expert programmer by solving real-world problems Test your C++ programming skills by solving real-world programming problems covered in the book C++ is one of the most widely-used programming languages and has applications in a variety of fields, such as gaming, GUI programming, and operating systems, to name a few. What You Will Learn Serialize and deserialize JSON and XML data Perform encryption and signing to facilitate secure communication between parties Embed and use SQLite databases in your applications Use threads and asynchronous functions to implement generic purpose parallel algorithms Compress and decompress files to/from a ZIP archive Implement data structures such as circular buffer and priority queue Implement general purpose algorithms as well as algorithms that solve specific problems Create client-server applications that communicate over TCP/IP Consume HTTP REST services Use design patterns to solve real-world problems

COMPUTATIONAL COMPLEXITY A Modern Approach。英文正式出版，非draft version

Contents Preface v Typographical Conventions xi 1 Introduction 1 1.1 A Quick Overview of S ....................... 3 1.2 Using S ............................... 5 1.3 An Introductory Session . . . . . ................. 6 1.4 WhatNext? ............................. 12 2 DataManipulation 13 2.1 Objects ............................... 13 2.2 Connections............................. 20 2.3 DataManipulation ......................... 27 2.4 TablesandCross-Classification................... 37 3The S Language 41 3.1 Language Layout . . ........................ 41 3.2 More on S Objects ......................... 44 3.3 ArithmeticalExpressions...................... 47 3.4 CharacterVectorOperations .................... 51 3.5 Formatting and Printing . . . . . . ................. 54 3.6 Calling Conventions for Functions ................. 55 3.7 ModelFormulae........................... 56 3.8 ControlStructures.......................... 58 3.9 ArrayandMatrixOperations.................... 60 3.10 Introduction to Classes and Methods . . . ............. 66 4 Graphics 69 4.1 GraphicsDevices .......................... 71 4.2 Basic Plotting Functions . . . . . ................. 72 viiviii Contents 4.3 EnhancingPlots........................... 77 4.4 FineControlofGraphics ...................... 82 4.5 Trellis Graphics . . . ........................ 89 5 Univariate Statistics 107 5.1 Probability Distributions . . . . . .................107 5.2 Generating Random Data . . . . . .................110 5.3 DataSummaries...........................111 5.4 ClassicalUnivariateStatistics....................115 5.5 RobustSummaries .........................119 5.6 DensityEstimation .........................126 5.7 Bootstrap and Permutation Methods . . . .............133 6 Linear StatisticalModels 139 6.1 AnAnalysisofCovarianceExample................139 6.2 ModelFormulaeandModelMatrices ...............144 6.3 Regression Diagnostics . . . . . . .................151 6.4 SafePrediction ....................